Christian Reinbacher

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #20,817 of 21,575 by trust here, #16,367 by citations

Whom Christian Reinbacher trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Daniel Scharstein
2. Antonin Chambolle
3. Thomas Pock
4. Zhengyou Zhang
5. Kaiming He
6. Heiko Hirschmüller
7. James Diebel
8. Ernie Esser
9. Sebastian Thrun
10. Johannes Peter Kopf

Who trusts Christian Reinbacher overall

1. Yinda Zhang
2. Jonathan T. Barron
3. Tak-Wai Hui
4. Yijun Li

Papers from Christian Reinbacher's perspective

Ordered by how strongly the researchers Christian Reinbacher trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Distinctive Image Features from Scale-Invariant Keypoints
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation (2013) — 526 citations